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Article ; Online: Treatment options for digital nerve injury: a systematic review and meta-analysis.

Zhang, Yi / Hou, Nianzong / Zhang, Jian / Xie, Bing / Liang, Jiahui / Chang, Xiaohu / Wang, Kai / Tang, Xin

Journal of orthopaedic surgery and research

2023 Volume 18, Issue 1, Page(s) 675

Abstract: Background: Surgical treatment of finger nerve injury is common for hand trauma. However, there are various surgical options with different functional outcomes. The aims of this study are to compare the outcomes of various finger nerve surgeries and to ... ...

Abstract	Background: Surgical treatment of finger nerve injury is common for hand trauma. However, there are various surgical options with different functional outcomes. The aims of this study are to compare the outcomes of various finger nerve surgeries and to identify factors associated with the postsurgical outcomes via a systematic review and meta-analysis. Methods: The literature related to digital nerve repairs were retrieved comprehensively by searching the online databases of PubMed from January 1, 1965, to August 31, 2021. Data extraction, assessment of bias risk and the quality evaluation were then performed. Meta-analysis was performed using the postoperative static 2-point discrimination (S2PD) value, moving 2-point discrimination (M2PD) value, and Semmes-Weinstein monofilament testing (SWMF) good rate, modified Highet classification of nerve recovery good rate. Statistical analysis was performed using the R (V.3.6.3) software. The random effects model was used for the analysis. A systematic review was also performed on the other influencing factors especially the type of injury and postoperative complications of digital nerve repair. Results: Sixty-six studies with 2446 cases were included in this study. The polyglycolic acid conduit group has the best S2PD value (6.71 mm), while the neurorrhaphy group has the best M2PD value (4.91 mm). End-to-side coaptation has the highest modified Highet's scoring (98%), and autologous nerve graft has the highest SWMF (91%). Age, the size of the gap, and the type of injury were factors that may affect recovery. The type of injury has an impact on the postoperative outcome of neurorrhaphy. Complications reported in the studies were mainly neuroma, cold sensitivity, paresthesia, postoperative infection, and pain. Conclusion: Our study demonstrated that the results of surgical treatment of digital nerve injury are generally satisfactory; however, no nerve repair method has absolute advantages. When choosing a surgical approach to repair finger nerve injury, we must comprehensively consider various factors, especially the gap size of the nerve defect, and postoperative complications. Type of study/level of evidence Therapeutic IV.
MeSH term(s)	Humans ; Neurosurgical Procedures ; Plastic Surgery Procedures ; Postoperative Complications ; Autografts ; Databases, Factual ; Peripheral Nerve Injuries/surgery
Language	English
Publishing date	2023-09-12
Publishing country	England
Document type	Meta-Analysis ; Systematic Review
ZDB-ID	2252548-8
ISSN	1749-799X ; 1749-799X
ISSN (online)	1749-799X
ISSN	1749-799X
DOI	10.1186/s13018-023-04076-x
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Article ; Online: Real-Word Effectiveness of Global COVID-19 Vaccines Against SARS-CoV-2 Variants

Kai Wang / Lin Wang / Mingzhe Li / Bing Xie / Lu He / Meiyu Wang / Rumin Zhang / Nianzong Hou / Yi Zhang / Fusen Jia

Frontiers in Medicine, Vol

A Systematic Review and Meta-Analysis

2022 Volume 9

Abstract: BackgroundCurrently, promoted vaccinations against SARS-CoV-2 are being given out globally. However, the occurrence of numerous COVID-19 variants has hindered the goal of rapid mitigation of the COVID-19 pandemic by effective mass vaccinations. The real- ... ...

Abstract	BackgroundCurrently, promoted vaccinations against SARS-CoV-2 are being given out globally. However, the occurrence of numerous COVID-19 variants has hindered the goal of rapid mitigation of the COVID-19 pandemic by effective mass vaccinations. The real-word effectiveness of the current vaccines against COVID-19 variants has not been assessed by published reviews. Therefore, our study evaluated the overall effectiveness of current vaccines and the differences between the various vaccines and variants.MethodsPubMed, Embase, Cochrane Library, medRxiv, bioRxiv, and arXiv were searched to screen the eligible studies. The Newcastle–Ottawa scale and the Egger test were applied to estimate the quality of the literature and any publication bias, respectively. The pooled incident rates of different variants after vaccination were estimated by single-arm analysis. Meanwhile, the pooled efficacies of various vaccines against variants were evaluated by two-arm analysis using odds ratios (ORs) and vaccine effectiveness (VE).ResultsA total of 6,118 studies were identified initially and 44 articles were included. We found that the overall incidence of variants post first/second vaccine were 0.07 and 0.03, respectively. The VE of the incidence of variants post first vaccine between the vaccine and the placebo or unvaccinated population was 40% and post second vaccine was 96%, respectively. The sub-single-arm analysis showed a low prevalence rate of COVID-19 variants after specific vaccination with the pooled incidence below 0.10 in most subgroups. Meanwhile, the sub-two-arm analysis indicated that most current vaccines had a good or moderate preventive effect on certain variants considering that the VE in these subgroups was between 66 and 95%, which was broadly in line with the results of the sub-single-arm analysis.ConclusionOur meta-analysis shows that the current vaccines that are used globally could prevent COVID-19 infection and restrict the spread of variants to a great extent. We would also support maximizing vaccine ...
Keywords	COVID-19 ; SARS-CoV-2 ; variant ; vaccine ; effectiveness ; meta-analysis ; Medicine (General) ; R5-920
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
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Article ; Online: Do COVID-19 CT features vary between patients from within and outside mainland China? Findings from a meta-analysis.

Hou, Nianzong / Wang, Lin / Li, Mingzhe / Xie, Bing / He, Lu / Guo, Mingyu / Liu, Shuo / Wang, Meiyu / Zhang, Rumin / Wang, Kai

Frontiers in public health

2022 Volume 10, Page(s) 939095

Abstract: Background: Chest computerized tomography (CT) plays an important role in detecting patients with suspected coronavirus disease 2019 (COVID-19), however, there are no systematic summaries on whether the chest CT findings of patients within mainland ... ...

Abstract	Background: Chest computerized tomography (CT) plays an important role in detecting patients with suspected coronavirus disease 2019 (COVID-19), however, there are no systematic summaries on whether the chest CT findings of patients within mainland China are applicable to those found in patients outside. Methods: Relevant studies were retrieved comprehensively by searching PubMed, Embase, and Cochrane Library databases before 15 April 2022. Quality assessment of diagnostic accuracy studies (QUADAS) was used to evaluate the quality of the included studies, which were divided into two groups according to whether they were in mainland China or outside. Data on diagnostic performance, unilateral or bilateral lung involvement, and typical chest CT imaging appearances were extracted, and then, meta-analyses were performed with R software to compare the CT features of COVID-19 pneumonia between patients from within and outside mainland China. Results: Of the 8,258 studies screened, 19 studies with 3,400 patients in mainland China and 14 studies with 554 outside mainland China were included. Overall, the risk of quality assessment and publication bias was low. The diagnostic value of chest CT is similar between patients from within and outside mainland China (93, 91%). The pooled incidence of unilateral lung involvement (15, 7%), the crazy-paving sign (31, 21%), mixed ground-glass opacities (GGO) and consolidations (51, 35%), air bronchogram (44, 25%), vascular engorgement (59, 33%), bronchial wall thickening (19, 12%), and septal thickening (39, 26%) in patients from mainland China were significantly higher than those from outside; however, the incidence rates of bilateral lung involvement (75, 84%), GGO (78, 87%), consolidations (45, 58%), nodules (12, 17%), and pleural effusion (9, 15%) were significantly lower. Conclusion: Considering that the chest CT features of patients in mainland China may not reflect those of the patients abroad, radiologists and clinicians should be familiar with various CT presentations suggestive of COVID-19 in different regions.
MeSH term(s)	Humans ; COVID-19/diagnostic imaging ; COVID-19/epidemiology ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods ; Databases, Factual ; China/epidemiology
Language	English
Publishing date	2022-10-14
Publishing country	Switzerland
Document type	Meta-Analysis ; Systematic Review ; Research Support, Non-U.S. Gov't
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2022.939095
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Article: Real-Word Effectiveness of Global COVID-19 Vaccines Against SARS-CoV-2 Variants: A Systematic Review and Meta-Analysis.

Wang, Kai / Wang, Lin / Li, Mingzhe / Xie, Bing / He, Lu / Wang, Meiyu / Zhang, Rumin / Hou, Nianzong / Zhang, Yi / Jia, Fusen

Frontiers in medicine

2022 Volume 9, Page(s) 820544

Abstract: Background: Currently, promoted vaccinations against SARS-CoV-2 are being given out globally. However, the occurrence of numerous COVID-19 variants has hindered the goal of rapid mitigation of the COVID-19 pandemic by effective mass vaccinations. The ... ...

Abstract	Background: Currently, promoted vaccinations against SARS-CoV-2 are being given out globally. However, the occurrence of numerous COVID-19 variants has hindered the goal of rapid mitigation of the COVID-19 pandemic by effective mass vaccinations. The real-word effectiveness of the current vaccines against COVID-19 variants has not been assessed by published reviews. Therefore, our study evaluated the overall effectiveness of current vaccines and the differences between the various vaccines and variants. Methods: PubMed, Embase, Cochrane Library, medRxiv, bioRxiv, and arXiv were searched to screen the eligible studies. The Newcastle-Ottawa scale and the Egger test were applied to estimate the quality of the literature and any publication bias, respectively. The pooled incident rates of different variants after vaccination were estimated by single-arm analysis. Meanwhile, the pooled efficacies of various vaccines against variants were evaluated by two-arm analysis using odds ratios (ORs) and vaccine effectiveness (VE). Results: A total of 6,118 studies were identified initially and 44 articles were included. We found that the overall incidence of variants post first/second vaccine were 0.07 and 0.03, respectively. The VE of the incidence of variants post first vaccine between the vaccine and the placebo or unvaccinated population was 40% and post second vaccine was 96%, respectively. The sub-single-arm analysis showed a low prevalence rate of COVID-19 variants after specific vaccination with the pooled incidence below 0.10 in most subgroups. Meanwhile, the sub-two-arm analysis indicated that most current vaccines had a good or moderate preventive effect on certain variants considering that the VE in these subgroups was between 66 and 95%, which was broadly in line with the results of the sub-single-arm analysis. Conclusion: Our meta-analysis shows that the current vaccines that are used globally could prevent COVID-19 infection and restrict the spread of variants to a great extent. We would also support maximizing vaccine uptake with two doses, as the effectiveness of which was more marked compared with one dose. Although the mRNA vaccine was the most effective against variants according to our study, specific vaccines should be taken into account based on the local dominant prevalence of variants.
Language	English
Publishing date	2022-05-19
Publishing country	Switzerland
Document type	Systematic Review
ZDB-ID	2775999-4
ISSN	2296-858X
ISSN	2296-858X
DOI	10.3389/fmed.2022.820544
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Article: The Old Supracondylar Fracture of Femur Treated by Gradual Deformity Correction Using the Ilizarov Technique Followed by the Second-Stage Internal Fixation in an Elderly Patient With Osteoporosis.

Hou, Nianzong / Zhang, Haiyang / Bai, Mingjian / Chen, Hao / Song, Weidong / Wang, Liming

Geriatric orthopaedic surgery & rehabilitation

2020 Volume 11, Page(s) 2151459320931673

Abstract: Background: The supracondylar nonunion of femur in elderly individuals is rare and challenging to manage. Nothing in English literatures or guidelines is available regarding this particular fracture characterized by osteoporosis, soft-tissue contracture, ...

Abstract	Background: The supracondylar nonunion of femur in elderly individuals is rare and challenging to manage. Nothing in English literatures or guidelines is available regarding this particular fracture characterized by osteoporosis, soft-tissue contracture, shortening, and joint stiffness. We report a case of an elderly patient with a supracondylar nonunion of the femur, which was successfully treated using staged Ilizarov techniques and dual plating. Case presentation: An 84-year-old female patient was admitted to our orthopedic department for her pain and soft-tissue swelling around the right knee with claudication and shortening deformity of the affected extremity. She denied any specific history of trauma and had sought traditional Chinese medical attention for 6 months before she presented to our hospital. Diagnosis of the right femoral supracondylar nonunion was made based on the X-ray and computed tomography. Ilizarov external fixator was carried out for successive and slow distraction and gradual correction of the shortening deformity, in consideration of the nonunion was still present. Subsequently, internal fixation with dual plating of the distal femur was performed. Excellent function and patient satisfaction were observed at 6 months of follow-up. Conclusion: The protocol of Ilizarov technique with subsequent internal fixation of dual plating seems to be an efficient solution to the supracondylar nonunion of femur in elderly patients with osteoporosis. The advantage of the protocol is that it allows knee joint motion, avoids neurovascular complications, and gentle correction of soft-tissue contractures.
Language	English
Publishing date	2020-06-10
Publishing country	United States
Document type	Case Reports
ZDB-ID	2589094-3
ISSN	2151-4593 ; 2151-4585
ISSN (online)	2151-4593
ISSN	2151-4585
DOI	10.1177/2151459320931673
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Article ; Online: Nomogram to Predict Incomplete Cytoreduction for Pseudomyxoma Peritonei.

Bai, Mingjian / Wang, Shilong / Liang, Guowei / Cai, Ying / Lu, Yiyan / Hou, Nianzong / Ma, Ruiqing / Xu, Hongbin / Zhang, Man

Annals of surgical oncology

2021 Volume 29, Issue 2, Page(s) 885–892

Abstract: Backgrounds: The completeness of cytoreduction is one of the most important prognostic factors for patients with pseudomyxoma peritonei (PMP). To date, no nomograms have been established to predict incomplete cytoreduction (IC) for patients with PMP. ... ...

Abstract	Backgrounds: The completeness of cytoreduction is one of the most important prognostic factors for patients with pseudomyxoma peritonei (PMP). To date, no nomograms have been established to predict incomplete cytoreduction (IC) for patients with PMP. The current study therefore proposed a nomogram to predict individual IC risk for PMP patients. Methods: Between 1 June 2013, and 22 November 2019, 144 consecutive PMP patients who underwent cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) for the first time in our center were included in a retrospective study. Possible predictors of cytoreducibility were analyzed using logistic regression modeling to predict IC for PMP patients. A nomogram was developed based on the multivariate analysis and further investigated for internal validation. Results: After CRS, the 144 participants were divided into complete CRS (CCRS) (n = 46) and IC (n = 98) subgroups. Four independent predictors (sex, disease duration, anemia, and carbohydrate antigen 19-9 (CA 199)) were included in the prediction model. Then, a nomogram predicting IC was established based on the aforementioned variables, which demonstrated good predictive accuracy (C-index, 0.837; 95 % confidence interval [CI], 0.764-0.894). The predicted probability was close to the actual observed outcome according to the calibration plot. Conclusions: The current work led to the development of a nomogram capable of predicting IC for PMP patients who demonstrated good performance. Risk stratification by the established nomogram had ability to optimize individual IC prediction and help physicians to establish meticulous preoperative plans.
MeSH term(s)	Combined Modality Therapy ; Cytoreduction Surgical Procedures ; Humans ; Hyperthermia, Induced ; Nomograms ; Peritoneal Neoplasms/surgery ; Pseudomyxoma Peritonei/surgery ; Retrospective Studies
Language	English
Publishing date	2021-09-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	1200469-8
ISSN	1534-4681 ; 1068-9265
ISSN (online)	1534-4681
ISSN	1068-9265
DOI	10.1245/s10434-021-10725-4
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Article ; Online: Nomogram to predict overall survival of patients with pseudomyxoma peritonei of appendiceal origin: A retrospective cohort study.

Bai, Mingjian / Wang, Shilong / Ma, Ruiqing / Cai, Ying / Lu, Yiyan / Hou, Nianzong / Liang, Guowei / Xu, Hongbin / Zhang, Man

Journal of surgical oncology

2021 Volume 124, Issue 8, Page(s) 1459–1467

Abstract: Background: Pseudomyxoma peritonei (PMP) is a rare disease, with the rate of overall survival (OS) influenced by many factors. The present study aimed to define independent predictors and establish a nomogram for individual risk prediction in PMP ... ...

Abstract	Background: Pseudomyxoma peritonei (PMP) is a rare disease, with the rate of overall survival (OS) influenced by many factors. The present study aimed to define independent predictors and establish a nomogram for individual risk prediction in PMP patients. Methods: One hundred forty-seven PMP patients were consecutively included between June 1, 2013, and November 22, 2019. The log-rank test was used to compare the OS rate between groups; subsequently, variables with p < .10 were subjected to multivariate Cox modeling for defining independent prediction indicators. Finally, a nomogram was established based on independent prognosticators and assessed for internal validation. Results: Multivariate Cox analysis showed that D-dimer level, carbohydrate antigen (CA) 125 level, CA 19-9 level, degree of radical surgery, and histological grade were all independently associated with OS in PMP patients. A nomogram was plotted and underwent internal validation. The discrimination ability of the nomogram revealed a good predictive ability as indicated by the C-index value (0.825), and calibration plots confirmed good consistency between the predicted and observed survival probabilities. Conclusions: Five independent prognostic factors for predicting the survival of PMP patients were identified, and the nomogram based on these independent indicators showed a reasonable discrimination ability for individual risk prediction.
MeSH term(s)	Appendiceal Neoplasms/mortality ; Appendiceal Neoplasms/pathology ; Appendiceal Neoplasms/therapy ; Biomarkers, Tumor/analysis ; Combined Modality Therapy ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Nomograms ; Peritoneal Neoplasms/mortality ; Peritoneal Neoplasms/pathology ; Peritoneal Neoplasms/therapy ; Prognosis ; Pseudomyxoma Peritonei/mortality ; Pseudomyxoma Peritonei/pathology ; Pseudomyxoma Peritonei/therapy ; Retrospective Studies ; Survival Rate
Chemical Substances	Biomarkers, Tumor
Language	English
Publishing date	2021-10-11
Publishing country	United States
Document type	Journal Article
ZDB-ID	82063-5
ISSN	1096-9098 ; 0022-4790
ISSN (online)	1096-9098
ISSN	0022-4790
DOI	10.1002/jso.26671
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Article ; Online: Predicting 30-days mortality for MIMIC-III patients with sepsis-3

Nianzong Hou / Mingzhe Li / Lu He / Bing Xie / Lin Wang / Rumin Zhang / Yong Yu / Xiaodong Sun / Zhengsheng Pan / Kai Wang

Journal of Translational Medicine, Vol 18, Iss 1, Pp 1-

a machine learning approach using XGboost

2020 Volume 14

Abstract: Abstract Background Sepsis is a significant cause of mortality in-hospital, especially in ICU patients. Early prediction of sepsis is essential, as prompt and appropriate treatment can improve survival outcomes. Machine learning methods are flexible ... ...

Abstract	Abstract Background Sepsis is a significant cause of mortality in-hospital, especially in ICU patients. Early prediction of sepsis is essential, as prompt and appropriate treatment can improve survival outcomes. Machine learning methods are flexible prediction algorithms with potential advantages over conventional regression and scoring system. The aims of this study were to develop a machine learning approach using XGboost to predict the 30-days mortality for MIMIC-III Patients with sepsis-3 and to determine whether such model performs better than traditional prediction models. Methods Using the MIMIC-III v1.4, we identified patients with sepsis-3. The data was split into two groups based on death or survival within 30 days and variables, selected based on clinical significance and availability by stepwise analysis, were displayed and compared between groups. Three predictive models including conventional logistic regression model, SAPS-II score prediction model and XGBoost algorithm model were constructed by R software. Then, the performances of the three models were tested and compared by AUCs of the receiver operating characteristic curves and decision curve analysis. At last, nomogram and clinical impact curve were used to validate the model. Results A total of 4559 sepsis-3 patients are included in the study, in which, 889 patients were death and 3670 survival within 30 days, respectively. According to the results of AUCs (0.819 [95% CI 0.800–0.838], 0.797 [95% CI 0.781–0.813] and 0.857 [95% CI 0.839–0.876]) and decision curve analysis for the three models, the XGboost model performs best. The risk nomogram and clinical impact curve verify that the XGboost model possesses significant predictive value. Conclusions Using machine learning technique by XGboost, more significant prediction model can be built. This XGboost model may prove clinically useful and assist clinicians in tailoring precise management and therapy for the patients with sepsis-3.
Keywords	MIMIC-III ; Sepsis-3 ; Machine learning ; Xgboost ; Logistic regression ; SAPS-II score ; Medicine ; R
Subject code	310
Language	English
Publishing date	2020-12-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
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Article ; Online: Comparison of detection rate of 16 sampling methods for respiratory viruses

Kai Wang / Hao Chen / Nianzong Hou / Haiyang Zhang / Mingjian Bai / Weidong Song / Fusen Jia / Shiliang Han / Bing Xie

BMJ Global Health, Vol 5, Iss

a Bayesian network meta-analysis of clinical data and systematic review

2020 Volume 11

Abstract: Background Respiratory viruses (RVs) is a common cause of illness in people of all ages, at present, different types of sampling methods are available for respiratory viral diagnosis. However, the diversity of available sampling methods and the limited ... ...

Abstract	Background Respiratory viruses (RVs) is a common cause of illness in people of all ages, at present, different types of sampling methods are available for respiratory viral diagnosis. However, the diversity of available sampling methods and the limited direct comparisons in randomised controlled trials (RCTs) make decision-making difficult. We did a network meta-analysis, which accounted for both direct and indirect comparisons, to determine the detection rate of different sampling methods for RVs.Methods Relevant articles were retrieved comprehensively by searching the online databases of PubMed, Embase and Cochrane published before 25 March 2020. With the help of R V.3.6.3 software and ‘GeMTC V.0.8.2’ package, network meta-analysis was performed within a Bayesian framework. Node-splitting method and I2 test combined leverage graphs and Gelman-Rubin-Brooks plots were conducted to evaluate the model’s accuracy. The rank probabilities in direct and cumulative rank plots were also incorporated to rank the corresponding sampling methods for overall and specific virus.Results 16 sampling methods with 54 438 samples from 57 literatures were ultimately involved in this study. The model indicated good consistency and convergence but high heterogeneity, hence, random-effect analysis was applied. The top three sampling methods for RVs were nasopharyngeal wash (NPW), mid-turbinate swab (MTS) and nasopharyngeal swab (NPS). Despite certain differences, the results of virus-specific subanalysis were basically consistent with RVs: MTS, NPW and NPS for influenza; MTS, NPS and NPW for influenza-a and b; saliva, NPW and NPS for rhinovirus and parainfluenza; NPW, MTS and nasopharyngeal aspirate for respiratory syncytial virus; saliva, NPW and MTS for adenovirus and sputum; MTS and NPS for coronavirus.Conclusion This network meta-analysis provides supporting evidences that NPW, MTS and NPS have higher diagnostic value regarding RVs infection, moreover, particular preferred methods should be considered in terms of specific virus ...
Keywords	Medicine (General) ; R5-920 ; Infectious and parasitic diseases ; RC109-216
Subject code	310
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	BMJ Publishing Group
Document type	Article ; Online
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Article: Comparison of detection rate of 16 sampling methods for respiratory viruses: a Bayesian network meta-analysis of clinical data and systematic review.

Hou, Nianzong / Wang, Kai / Zhang, Haiyang / Bai, Mingjian / Chen, Hao / Song, Weidong / Jia, Fusen / Zhang, Yi / Han, Shiliang / Xie, Bing

BMJ global health

2020 Volume 5, Issue 11

Abstract: Background: Respiratory viruses (RVs) is a common cause of illness in people of all ages, at present, different types of sampling methods are available for respiratory viral diagnosis. However, the diversity of available sampling methods and the limited ...

Abstract	Background: Respiratory viruses (RVs) is a common cause of illness in people of all ages, at present, different types of sampling methods are available for respiratory viral diagnosis. However, the diversity of available sampling methods and the limited direct comparisons in randomised controlled trials (RCTs) make decision-making difficult. We did a network meta-analysis, which accounted for both direct and indirect comparisons, to determine the detection rate of different sampling methods for RVs. Methods: Relevant articles were retrieved comprehensively by searching the online databases of PubMed, Embase and Cochrane published before 25 March 2020. With the help of R V.3.6.3 software and 'GeMTC V.0.8.2' package, network meta-analysis was performed within a Bayesian framework. Node-splitting method and Results: 16 sampling methods with 54 438 samples from 57 literatures were ultimately involved in this study. The model indicated good consistency and convergence but high heterogeneity, hence, random-effect analysis was applied. The top three sampling methods for RVs were nasopharyngeal wash (NPW), mid-turbinate swab (MTS) and nasopharyngeal swab (NPS). Despite certain differences, the results of virus-specific subanalysis were basically consistent with RVs: MTS, NPW and NPS for influenza; MTS, NPS and NPW for influenza-a and b; saliva, NPW and NPS for rhinovirus and parainfluenza; NPW, MTS and nasopharyngeal aspirate for respiratory syncytial virus; saliva, NPW and MTS for adenovirus and sputum; MTS and NPS for coronavirus. Conclusion: This network meta-analysis provides supporting evidences that NPW, MTS and NPS have higher diagnostic value regarding RVs infection, moreover, particular preferred methods should be considered in terms of specific virus pandemic. Of course, subsequent RCTs with larger samples are required to validate our findings.
MeSH term(s)	Bayes Theorem ; Humans ; Network Meta-Analysis ; Respiratory Tract Infections/virology ; Specimen Handling/methods
Keywords	covid19
Language	English
Publishing date	2020-11-07
Publishing country	England
Document type	Comparative Study ; Journal Article ; Meta-Analysis ; Systematic Review
ISSN	2059-7908
ISSN	2059-7908
DOI	10.1136/bmjgh-2020-003053
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